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Panovo, compared with the alternatives.

Chat models, an in-house build, reading by hand, or another review analytics tool: pick what you are weighing, and every row shows the same fact for Panovo and for the alternative, with a date.

Panovo vs. Building it in-house

Building in-house means owning scrapers, models and dashboards for years, with a data team on it. Panovo is the finished model: collection, reading, traceability and push, from the first day.

CriterionPanovoBuilding it in-houseThe difference
Sources
Marketplace reviews as a sourceFullReviews from e-commerce platforms are the primary source, collected continuously.PartOwn scrapers, which break whenever a marketplace changes its pages.
Monitoring per product listingFullEvery listing is tracked on its own: yours and your competitors'.PartYes, once the pipelines exist and are maintained.
Forums and social mediaFullForums, consumer sites and social media feed the same model.PartEach source is its own connector to build and keep.
Evidence
Every number traceable to the reviewFullEach number opens down to the reviews behind it.FullIf you design it in from the start.
Competitors on the same attributesFullYour products and theirs are read against one set of attributes.PartPossible, once every competitor listing is collected too.
Your own taxonomyFullOne taxonomy you define, applied to every review.FullEntirely your own.
In daily work
Findings pushed before anyone asksFullThe relevance model learns what matters for whom and pushes it.PartRules and dashboards are quick. A relevance model is a project of its own.
Ask the data in plain languageFullThe research agent answers category questions across all reviews.PartNeeds its own agent layer on top of the data.
Pricing modelPer category, quote on request, with a starter phase before any annual commitment.Engineering time, for the build and every month after.

As of 16 September 2026, from public information.

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